Platnick, D., Gruener, M., Alirezaie, M., Larson, K., Newman, D.J., Rahnama, H. (2026). Perspective-Aware AI in Extended Reality. In: De Paolis, L.T., Arpaia, P., Sacco, M. (eds) Extended Reality. XR Salento 2025. Lecture Notes in Computer Science, vol 15743. Springer, Cham. https://doi.org/10.1007/978-3-031-97781-7_7

Abstract

AI-enhanced Extended Reality (XR) aims to deliver adaptive, immersive experiences—yet current systems fall short due to shallow user modeling and limited cognitive context. We introduce Perspective-Aware AI in Extended Reality (PAiR), a foundational framework for integrating Perspective-Aware AI (PAi) with XR to enable interpretable, context-aware experiences grounded in user identity. PAi is built on Chronicles—reasoning-ready identity models learned from multimodal digital footprints that capture users’ cognitive and experiential evolution. PAiR employs these models in a closed-loop system linking dynamic user states with immersive environments. We present PAiR’s architecture, detailing its modules and system flow, and demonstrate its utility through two proof-of-concept scenarios implemented in the Unity-based OpenDome engine. PAiR opens a new direction for human-AI interaction by embedding perspective-based identity models into immersive systems.